- April 26, Geir Agnarsson (George Mason University), host: Gexin Yu
- April 19, James Powell (Utah State University and NSF), host: Junping Shi
- April 12, Lily Wang (Iowa State University), host: GuanNan Wang
- April 5, Cissy Patterson Lecture & Mathematics Colloquium: John Watrous (IQC), host: Chi-Kwong Li
- Mar. 29
2-3pm: Jude Kong (DIMACS/Princeton University), host: Junping Shi

- Mar. 22, Matthew Morena (Christopher Newport University), host: Laura Storch
- Mar. 15, Shu-Ming Sun (Virginia Polytechnic Institute and State University), host: Junping Shi
- Mar. 8 no talk (Spring break)
- Mar. 1 no talk (The day before Spring break)
- Feb. 22, Xinyi Li (SAMSI): Sparse learning for image-on-scalar regression with application to imaging genetics studies. Host: GuanNan Wang
- Feb. 15 Nicholas Werner (SUNY Old Westbury): Reachable Pairs in Digraphs and Zero Pattern Matrix Rings. Host: Eric Swartz
- Feb. 8 Yu Amy Xia (Mason School of Business, William & Mary)
- Feb. 1 Jesse Thorner (Stanford): A new approach to bounding L-functions
- Jan. 28, Ian Whitehead (Macalester College): Apollonian Packings and Number Theory
- Jan. 25, Michael Tait (CMU): Algebraic methods in extremal graph theory

3-4pm: Mikhail Chebotar (Kent State University): Around the Koethe Conjecture. Host: Chi-Kwong Li

Abstract: The Koethe Conjecture (whether a sum of two left nil ideals is nil) is one of the most famous open problems in Ring Theory and it inspired many interesting questions. We will discuss some recent progress and new directions for research in this area.

Abstract: Motivated by recent advances in technology for medical imaging and high-throughput genotyping, we consider an imaging genetics approach to discover relationships between the interplay of genetic variation and environmental factors and measurements from imaging phenotypes. We propose an image-on-scalar regression method, in which the spatial heterogeneity of gene-environment interactions on imaging responses is investigated via an ultra-high-dimensional spatially varying coefficient model (SVCM). Bivariate splines on triangulations are used to represent the coefficient functions over an irregular two-dimensional (2D) domain of interest. For the proposed SVCMs, we further develop a unified approach for simultaneous sparse learning (i.e., G×E interaction identification) and model structure identification (i.e., determination of spatially varying vs. constant coefficients). Our method can identify zero, nonzero constant and spatially varying components correctly and efficiently. The estimators of constant coefficients and varying coefficient functions are consistent and asymptotically normal. The performance of the method is evaluated by Monte Carlo simulation studies and a brain mapping study based on the Alzheimer's Disease Neuroimaging Initiative (ADNI) data.

Abstract: This talk will discuss two closely related problems, one in graph theory and one involving matrix rings. Given vertices $u$ and $v$ in a directed graph (digraph) $\Gamma$, we say that the ordered pair $(u, v)$ is a reachable pair if there exists a path of directed edges from $u$ to $v$. One may ask: if the digraph $\Gamma$ has $n$ vertices, then how many reachable pairs could $\Gamma$ contain? To answer this question, we translate it into an algebraic form and consider the problem of counting the number of nonzero entries in certain rings of $n \times n$ matrices. No prior knowledge will be assumed, and the talk should be accessible to undergraduates. This is joint work with Eric Swartz.

Abstract: An L-function is a type of generating function with multiplicative structure which arises from either an arithmetic-geometric object (like a number field, elliptic curve, abelian variety) or an automorphic form. The Riemann zeta function is the prototypical example of an L-function. While L-functions might appear to be an esoteric and special topic in number theory, time and again it has turned out that the crux of a problem lies in the theory of these functions. Many equidistribution problems in number theory rely on one's ability to accurately bound the size of L-functions; optimal bounds arise from the (unproven!) Riemann Hypothesis for the Riemann zeta function and its extensions to other L-functions. I will discuss some motivating equidistribution problems along with recent work (joint with K. Soundararajan) which produces new bounds for L-functions by proving a suitable "statistical approximation" to the (extended) Riemann Hypothesis.

Abstract: Start with four circles, all tangent to one another; then fill in the gaps between them with additional tangent circles. If you keep filling the gaps with smaller and smaller circles, you will generate an Apollonian circle packing. This picture has a rich history, from ancient Greece to Rene Descartes, to Japanese temple geometry. Amazingly, if you start with four circles whose curvatures are integers, then all the circles in the packing have this property. In my talk I'll describe some of the number theory that's been inspired by Apollonian packings in the last 20 years: theorems and conjectures about the growth of curvatures in a packing, and which integers can appear as curvatures. I will finish with my own work on the domain of multivariable power series defined by Apollonian packings.

Abstract: How many edges may a graph with no triangle have? Given a graph F, the Turan problem asks to maximize the number of edges in a graph on n vertices subject to the constraint that it does not contain F as a subgraph. In this talk, we will discuss constructions for this problem coming from finite geometry (eg using projective planes), combinatorial number theory, and "random polynomials".

- 12/7, Mengying Xiao (W&M): Algebraic splitting methods for solving saddle point problems arising in computational fluid dynamics
- 11/30, Tanujit Dey (Department of Quantitative Health Sciences, Cleveland Clinic), host: Shi
- 11/23, no talk (Thanksgiving)
- 11/16, Zixia Song (University of Central Florida):Gallai-Ramsey Numbers of Cycles. Host: Yu
- 11/9, Mark Girard (Institute for Quantum Computing, Univ. of Waterloo): Mathematics of Quantum Entanglement. Host: Li
- 11/2, Daniel Puzzouli (Department of Mathematics and Statistics, University of Ottawa, and School of Mathematics and Statistics, Carleton University): Entanglement in single-shot quantum channel discrimination and norms on linear maps of matrices. Host: Li
- 10/26, Mary Silber (University of Chicago): Pattern formation in the drylands: vegetation patterns captured by satellite images and by mathematical models. Host: Shaw New time and location! 3-4pm in ISC 1221
- 10/19, Chiolwoo Park (U of Georgia): Regularized Aggregation of Statistical Parametric Maps. Host: Iaci
- 10/12, Chi-Kwong Li (W&M): Quantum states and quantum channels
- 10/5, Endre Boros (Rutgers University): An introduction to combinatorial games. Host: Ninh
- 9/28, Neal Bushaw (VCU): Bootstrap Percolation on Polygonal Tilings of the Plane. host: Yu
- 9/21, Xiaoya Zha (Middle Tennessee State University), host: Yu
- 9/14, Chi-Kwong Li (W&M): Quantum states and quantum channels Because of Hurricane, more to 10/12
- 9/7, no talk (welcome back luncheon)
- 8/31, Charlie Johnson (W&M): Eigenvalues, Multiplicities and Graphs

Abstract:
We study an efficient numerical method for solving difficult `saddle point' linear systems that arise at every time step in the discretization of incompressible flow problems, including those modeled by the Navier-Stokes equations (e.g. water, oil, air under 220 mph) and magnetohydrodynamics (flows on conducting fluids). By combining an algebraic splitting of the block saddle point matrix, a particular approximation of the Schur complement system, and an incremental version of the associated time stepping algorithm, we are able to decompose the linear systems into smaller pieces that are easier to solve. We prove that the approximations made in the solve process are third (or fourth) order, and so are appropriate for use with second order time stepping methods. Numerical tests are performed which verify excellent performance of the methods on a variety of test problems.

Abstract:
Ramsey theory dates back to the 1930's and computing Ramsey numbers is a notoriously difficult problem in combinatorics. We study Ramsey numbers of graphs under Gallai colorings, where a Gallai coloring is a coloring of the edges of a complete graph such that no triangle has all its edges colored differently. Given a graph H and apositive integer k, the Gallai-Ramsey number of H is the least positive integer N such that every Gallai coloring of the complete graph K_N using k colors contains a monochromatic copy of H. Gallai-Ramsey numbers of graphs are more well-behaved, though computing them is far from trivial. In this talk, I will present our recent results on Gallai-Ramsey numbers of cycles.

Abstract:
Quantum information theory has emerged at the junction of multiple
disciplines, blending concepts and techniques from physics,
mathematics, and computer science. At the heart of this new field is
the effort to understand and answer the following questions: How is
information stored and manipulated in a quantum system, and how well
is this information preserved under physical processes? In this talk,
I will introduce some key notions in quantum information using
mathematical formalism, including quantum states, quantum channels,
and quantum entanglement. Some of the mathematical tools needed to
understand the problems of detecting and manipulating entanglement
will be presented.

Abstract: In finite dimensional quantum information, transformations
between systems are represented by quantum channels: completely
positive and trace preserving linear maps between matrix spaces.
Single-shot quantum channel discrimination is the task of determining
which of two known channels is acting on a system, given only a single
use. We will review how entanglement can be used in this task to gain
an advantage, and how this phenomenon is directly connected to
properties of norms measuring the distance between the channels. In
particular, the advantage provided by entanglement is quantified by
the gap between the completely bounded trace norm and the induced
trace norm. We will discuss recent results related to these norms and
single-shot quantum channel discrimination, as well as open problems.

Abstract: A beautiful example of spontaneous pattern formation appears in the distribution of vegetation in some dry-land environments.
Examples from Africa, Australia and the Americas reveal that vegetation, at a community scale, may spontaneously form into stripe-like bands, alternating with striking regularity with bands of bare soil, in response to aridity stress. A typical length scale for such patterns is
100 m; they are readily surveyed by modern satellites (and explored from your armchair in Google maps). These ecosystems represent some of Earth’s most vulnerable under threats of desertification, and some ecologists have suggested that the patterns, so easily monitored by satellites, may have potential as early warning signs of ecosystem collapse. I will describe efforts based in simple mathematical models, inspired by decades of physics research on pattern formation, to understand the morphology of the patterns. I will also describe efforts at analyzing the patterns via the satellite images, which, in some cases, we can accurately align with the aerial survey photographs from the 1950s to investigate details of the pattern evolution.

Abstract: Combining statistical parametric maps (SPM) from individual subjects is the goal in some types of group-level analyses of functional magnetic resonance imaging (fMRI) data. Brain maps are usually combined using a simple average across subjects, making them susceptible to subjects with outlying values. Furthermore, t tests are prone to false positives and false negatives when outlying values are observed. We propose a regularized unsupervised aggregation method for SPMs to find an optimal weight for aggregation, which aids in detecting and mitigating the effect of outlying subjects. We also present a bootstrap-based weighted t test using the optimal weights to construct an activation map robust to outlying subjects. We validate the performance of the proposed aggregation method and test using simulated and real data examples. Results show that the regularized aggregation approach can effectively detect outlying subjects, lower their weights, and produce robust SPMs.

Abstract: In the Hilbert space formulation, quantum states are density matrices, i.e., positive
semidefinite matrices with trace one, and quantum channels are trace preserving completely positive linear maps on matrices. In this talk, we will present some results on the existence of quantum channels that send certain quantum states to other quantum states. Additional conditioons on the quantum channels may be imposed to satisfy certain
specific requirements.

Abstract: We consider bootstrap percolation in tilings of the plane by regular polygons. First, we determine the percolation threshold for each of the infinite Archimedean lattices.
More generally, let T denote the set of plane tilings t by regular polygons such that if t contains one instance of a vertex type, then t contains infinitely many instances of that type. We show that no tiling in T has threshold 4 or more.
This material is self-contained, and requires no particular background. We'll share many open problems, as well as the intuition behind these results.

Title: Non-revisiting Paths in Polyhedral Map on Surfaces

Abstract: This will be an introduction to how the graph (of a real symmetric matrix, or a general matrix) constrains the multiplicities of its eigenvalues. The case of trees is most interesting and this will be described in some detail, including the maximum multiplicity, the minimum number of distinct eigenvalues, the possible lists of multiplicities and how they come about. This talk will be an overview of the subject and a second talk in the GAG seminar will continue the description. The subject has just been covered in a new book from Cambridge University Press (same title), and REU students have helped to make some very important contributions over the years. There is still plenty of work to be done in the area, which has been of interest to algebraic graph theorists and numerical analysts, as well as matrix theorists.